GraphRAG over aviation safety incident reports for causal reasoning and safety pattern extraction
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Updated
Apr 27, 2026 - Python
GraphRAG over aviation safety incident reports for causal reasoning and safety pattern extraction
a dataset + scripts for all 2010-2025 aviation accidents
Jatayu - ML-powered bird strike prediction and aviation safety intelligence platform with real-time dashboards
SQL and Python Scripts for OpenSky Trino Database Analysis. This release includes SQL scripts and Python code for analyzing ADS-B messages stored in the OpenSky Trino database.
a CAROL query API for the National Transportation Safety Board
Aviation Accident Database Analysis Tools for NTSB Datasets (1962-present) - includes MDB extraction scripts, SQL query tools, Python analysis examples, and comprehensive documentation.
🤗 항공 안전 도메인에 특화된 한국어 BERT 모델
iOS App that aims to improve safety amongst glider pilots by making the pilot's practice state easily accessible. Written with SwiftUI.
AirLang is a domain-specific language for aviation flight planning and operations, featuring a complete compiler toolchain with 7-phase compilation, and specialized aviation calculations. Deployed as a standalone application with comprehensive documentation and examples
Workload, complexity, and safety in air traffic control — under review at Journal of Air Transport Management
A professional, high-performance web tool for calculating and verifying regulatory minima across all aircraft categories (CAT A/B/C/D). This application provides instant compliance checking for Precision, Non-Precision, and Circling procedures.
A project analyzing Bird Strike incidents with data visualizations and dashboards.
EursiaAero AD/CN Explorer – EASA Airworthiness Directives & Consignes de Navigabilité
A comprehensive historical analysis of aviation incidents to identify safety trends, manufacturer reliability, and survival factors.
An API that uses aircraft performance data, and Canadian aviation rules, regulations and definitions, to produce VFR flight plans
Superseded by allofdaniel/korean-notam-api. Kept for earlier staging history.
av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.
AirCPA is an offline analysis tool for deterministic air traffic conflict detection based on Closest Point of Approach (CPA) prediction using historic ADS-B state vector data.
Open-source Python tooling for collecting, normalizing, monitoring, and self-hosting Korean NOTAM data.
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